Maxing Out Stocks as Lotteries and the Cross-Section of Expected Returns

Working Paper: NBER ID: w14804

Authors: Turan G. Bali; Nusret Cakici; Robert F. Whitelaw

Abstract: Motivated by existing evidence of a preference among investors for assets with lottery-like payoffs and that many investors are poorly diversified, we investigate the significance of extreme positive returns in the cross-sectional pricing of stocks. Portfolio-level analyses and firm-level cross-sectional regressions indicate a negative and significant relation between the maximum daily return over the past one month (MAX) and expected stock returns. Average raw and risk-adjusted return differences between stocks in the lowest and highest MAX deciles exceed 1% per month. These results are robust to controls for size, book-to-market, momentum, short-term reversals, liquidity, and skewness. Of particular interest, including MAX reverses the puzzling negative relation between returns and idiosyncratic volatility recently documented in Ang et al. (2006, 2008).

Keywords: expected returns; lottery-like payoffs; idiosyncratic volatility; cross-sectional pricing

JEL Codes: G12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
poorly diversified investors (G11)stock prices (G12)
stock prices (G12)future stock returns (G17)
maximum daily returns (max) (G12)idiosyncratic volatility (G19)
maximum daily returns (max) (G12)future stock returns (G17)
maximum daily returns (max) (G12)expected stock returns (G17)

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